A Study of Heart Sound and Lung Sound Separation by Independent Component Analysis Technique

• Main Authors: Ming-Chuan Huang, 黃銘川
• Other Authors: 張璞曾
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/16953696944510858053

碩士 === 國立臺灣大學 === 電機工程學研究所 === 94 === In hospital, physician examine emphasizes with percussion and auscultations; and auscultation is the most common way for physical exam. Recently, in order to develop Tele-medicine and Home care system and to assist physician can have more correct diagnose by auscultation; electric stethoscope and computer analysis have become an inevitable trend. However, two physical signals which include with Heart sound and lung sound are both appear from chest and also have some overlapped spectrum diagram. So, in order avoid to users misplace or untrained of stethoscope using and makes these two sounds will effect each other during with computer analysis; to separate heart sound and lung sound become necessary and important. Independent component analysis (also called ICA) is an algorithm which developed from 1990; it can separate two sounds even above efficiency. In this paper, we use two microphones to collect signals from left and right chest. And we have successfully divide heart and lung sounds by Fast ICA algorithm. And it can assist physician examine and also using on Tele-medicine and Home care by this way.